"A server for file search, project analysis, and code refactoring on macOS" matching MCP servers:

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

Enables fast file search on macOS using the native mdfind (Spotlight) command, with support for filtering, regex, sorting, and limiting results.

A collection of small MCP servers for macOS automation that expose Apple Mail, MoneyMoney, and Spotlight functionality as tools via AppleScript and command-line, enabling AI applications to search mail, manage contacts and transactions, and perform system-wide file searches through natural language.

Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.

Search local file contents recursively with keyword matching

An MCP server that enables file system search and inspection, including directory listing, regex-based file name and content searches, and reading text, PDF, and DOCX files.

Enables intelligent file searching in local directories using natural language queries. Supports searching by file type, filename patterns, and content across multiple formats including PDF, Word, Excel, and text files with AI-powered relevance scoring.

A sophisticated MCP server providing powerful file search capabilities including single file search, recursive directory search, and file information retrieval.

An HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

Provides tools for searching and reading local files, supporting metadata filters, PDF full-text keyword search, and sandboxed file access.

Enables read-only scanning and text extraction from PDF, DOCX, PPTX, SVG, and PNG files in a local folder, providing the raw text to AI models for summarization or analysis without an external LLM API.

Enables an AI agent to safely observe and operate a Mac, starting read-only with optional read-write and admin tools for files, processes, apps, shell, AppleScript, and GUI control behind explicit permissions and human approval.

Enables LLM hosts like Claude Code or Codex CLI to inspect folder structures and read unstructured documents (PDF, PPTX, DOCX, SVG, and images) by returning raw text and images for the host to summarize or analyze.

Enables AI agents to call native macOS calendars, reminders, files, desktop/system actions, selected Apple apps, shortcuts, and web tools through MCP, with scoped file access and explicit approvals for writes.

Enables interaction with macOS system features including file dialogs, clipboard management, Finder integration, and system notifications. It also provides tools for taking screenshots, processing images, managing PDFs, and interacting with the Apple Notes app.

Windows-first MCP server for deterministic file writes with atomic create, replace, and structured edit operations, preserving encoding and newline styles.

Provides advanced system monitoring and file search capabilities for macOS, allowing users to track performance metrics and perform enhanced file searches with content analysis and tagging features.

Local-first macOS MCP server for searching files, running approved Shortcuts, managing Homebrew packages, and working with local models, with read-only defaults and optional gated mutations.

Provides AI agents with document conversion to Markdown, intelligently routing small and large files, and enabling targeted extraction via sections, search, and token budgets.

A secure, constraint-based macOS OS-level automation MCP server for AI assistants.

Educational MCP server for basic file operations (read/write) via the Model Context Protocol.

Enables extracting text, structure, and image data from unstructured documents (PDF, DOCX, PPTX, SVG, PNG, JPG) and scanning folder trees.

Enables local folder analysis of unstructured documents (PDF, DOCX, PPTX, TXT, SVG, PNG, CSV, XLSX) by extracting structure, reading content, and generating reports, with a strict approval gate before any save operation.

Enables agents to perform workspace-scoped file deletion through a ticket-gated workflow: preview paths and risks, move approved files into a recoverable .del batch, then permanently purge them after confirmation.

MCP server for file operations with non-UTF-8/Unicode encoding: Cyrillic, CP1251, CP1252, ISO-8859, KOI8 auto-detection

A secure MCP server for converting documents between Markdown, DOCX, HTML, PDF, and TXT formats within a sandboxed working directory.

Enables merging multiple files into a single file through a simple MCP interface. Provides a secure way to combine files while restricting access to only allowed directories.

An MCP server that exposes macOS Spotlight search as tools, wrapping mdfind and mdls to provide full-text and metadata file search across the system.

Enables local file management through natural language interactions using the Gemini API, with tools for listing, reading, writing, deleting, and updating files.

A stateful MCP server that remembers what your AI agent has already seen.